Livestock and feedlot data collection and processing using UHF-band interrogation of radio frequency identification tags for feedlot arrival and risk assessment
US11055633B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 20, 2020 |
| Grant date | Jul 6, 2021 |
| Priority date | — |
| Expiry date | Apr 20, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W4/70
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An agricultural data collection framework is provided in a system and method for tracking and managing livestock, and for analyzing animal conditions such as health, growth, nutrition, and behavior. The framework uses ultra-high frequency interrogation of RFID tags to collect individual animal data across multiple geographical locations, and incorporates artificial intelligence techniques to develop machine learning base models for statistical process controls around each animal for evaluating the animal condition. The framework provides a determination of normality at an individual animal basis or for a specific location, and generates alerts, predictions, and a targeted processing or application schedule for prioritizing and delivering resources when intervention is needed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.